Architecture for autonomous shape error compensation in tool grinding

authored by: Berend Denkena, Marcel Wichmann, Michael Wulf
Abstract: Process planning of tool grinding operations for individual cylindrical tools requires expert knowledge as well as adjustment tests in order to enable productive manufacturing according to the quality requirements. Static deflections of the cylindrical blank lead especially in the case of drilling tools to shape errors and core diameter deviations that vary with the axial workpiece position. This paper presents an architecture to compensate for shape errors autonomously in process planning by using a technological NC-Simulation. Based on a fast prediction of the elastic workpiece deflection, the initial NC code is modified by optimizing process parameters and adapting the tool path according to the bending line. A concept for data feedback ensures self-learning effects and enables model adaption. It is shown how the prediction can be adjusted for unknown grinding wheel specifications between the grain sizes D9 and D54. In experimental investigations, the shape error could be reduced in a range of 88 % to 99 % with a productivity increase of 47 %.
Organisation(s): Institute of Production Engineering and Machine Tools
Type: Article
Journal: CIRP Journal of Manufacturing Science and Technology
Volume: 58
Pages: 80-86
No. of pages: 7
ISSN: 1755-5817
Publication date: 14.02.2025
Publication status: E-pub ahead of print
Peer reviewed: Yes
ASJC Scopus subject areas: Industrial and Manufacturing Engineering
Electronic version(s): https://doi.org/10.1016/j.cirpj.2025.02.001 (Access: Open)

BibTeX

@article{dbc42437235d493485007f0b3c2285cd,
title = "Architecture for autonomous shape error compensation in tool grinding",
abstract = "Process planning of tool grinding operations for individual cylindrical tools requires expert knowledge as well as adjustment tests in order to enable productive manufacturing according to the quality requirements. Static deflections of the cylindrical blank lead especially in the case of drilling tools to shape errors and core diameter deviations that vary with the axial workpiece position. This paper presents an architecture to compensate for shape errors autonomously in process planning by using a technological NC-Simulation. Based on a fast prediction of the elastic workpiece deflection, the initial NC code is modified by optimizing process parameters and adapting the tool path according to the bending line. A concept for data feedback ensures self-learning effects and enables model adaption. It is shown how the prediction can be adjusted for unknown grinding wheel specifications between the grain sizes D9 and D54. In experimental investigations, the shape error could be reduced in a range of 88 % to 99 % with a productivity increase of 47 %.",
keywords = "Cutting tool, Grinding, Parameter optimization, Path adaption, Process model, Simulation",
author = "Berend Denkena and Marcel Wichmann and Michael Wulf",
note = "Publisher Copyright: {\textcopyright} 2025 The Authors",
year = "2025",
month = feb,
day = "14",
doi = "10.1016/j.cirpj.2025.02.001",
language = "English",
volume = "58",
pages = "80--86",
journal = "CIRP Journal of Manufacturing Science and Technology",
issn = "1755-5817",
publisher = "Elsevier BV",
}